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Dataset Information

Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma.


ABSTRACT:

Background

Prehospital trauma triage is essential to get the right patient to the right hospital. However, the national field triage guidelines proposed by the American College of Surgeons have proven to be relatively insensitive when identifying severe traumas.

Objective

This study aimed to build a prehospital triage model to predict severe trauma and enhance the performance of the national field triage guidelines.

Methods

This was a multisite prediction study, and the data were extracted from the National Trauma Data Bank between 2017 and 2019. All patients with injury, aged 16 years of age or older, and transported by ambulance from the injury scene to any trauma center were potentially eligible. The data were divided into training, internal, and external validatio

SUBMITTER: Chen Q 

PROVIDER: S-EPMC11474124 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature